Guide contents
Part I. AI Agent Architecture: The Foundations
The eleven foundational building blocks of modern autonomous agents: model taxonomy, the agentic runtime loop, advanced prompting, distillation, skills architecture, memory systems, function calling, and FinOps.
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Part II. AI Agent Architecture: From Model to Memory and Tools
A deep engineering dive: tokenization, KV-cache, sampling determinism, the training stack, quantization, context engineering, the safety stack, production RAG, ReAct, and multi-agent swarm systems.
Practical Reference: AI Agent Architecture in 2026
A production reference for autonomous agent architectures: six system layers, five orchestration patterns, memory tiering, loop circuit breakers, and a production readiness checklist.
Agent-to-Agent Protocol (A2A)
An open standard for network interaction, decentralized discovery, and secure context exchange between independent AI agents across various vendors and platforms.
Multi-Agent Orchestration
An architecture for the interaction of independent specialized AI agents, united in a distributed network or hierarchy to solve complex engineering tasks in parallel.
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